Medical Fuzzy Expert System for Diagnosis And Distribution of Doctors in Rural Areas in Morocco: COVID-19 Case Study

In this paper, we propose a computer-aided diagnostic system based on a fuzzy expert system, in order to help physicians, make the right diagnosis and o er an opportunity to improve access to health care in rural areas in Morocco, where there is a lack of infrastructure and medical experts. The system is mainly based on the diagnoses of various physicians. We collect different diagnostic decisions of a specific disease according to its relevant symptoms for different physicians. Diagnostic decisions of different experts and severity levels of each symptom are modeled using linguistic fuzzy values. Then we form a system based on fuzzy rules to combine the different expert diagnoses and obtain a general diagnosis. Moreover, we propose an application to COVID-19 disease to test how well the proposed model may be applied in practice for different diseases